{"id":"W3085278110","doi":"10.1108/sef-03-2019-0124","title":"Real effects of real estate: evidence from unemployment rates","year":2020,"lang":"en","type":"article","venue":"Studies in Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; Economics; Unemployment; Metropolitan area; Capitalization rate; Quarter (Canadian coin); House price; Real estate investment trust; Income approach; Macroeconomics; Econometrics; Labour economics; Financial economics; Monetary economics; Finance; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002921628,0.000218186,0.0008426254,0.00007684546,0.00006785358,0.00003108437,0.0002103757,0.00008490757,0.000006506817],"category_scores_gemma":[0.0002014554,0.0002658758,0.0000766973,0.0001127154,0.0002350863,0.0002701251,0.0002186093,0.0001230996,0.00003004403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001225084,"about_ca_system_score_gemma":0.0000259408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001312834,"about_ca_topic_score_gemma":0.0003194467,"domain_scores_codex":[0.9982478,0.00001586004,0.000839257,0.0005919494,0.00001298994,0.0002921222],"domain_scores_gemma":[0.9988466,0.0003869077,0.0004486293,0.0002461317,0.00001902067,0.00005271293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000498052,0.0001796604,0.800709,0.0006984244,0.0004437908,0.00004387517,0.03031856,0.004526397,0.0001004336,0.06703091,0.0009934489,0.09445742],"study_design_scores_gemma":[0.009929217,0.002269359,0.5848206,0.001540672,0.0001241536,0.000006451238,0.004910112,0.1578645,0.004826448,0.1509636,0.07838843,0.004356542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864116,0.003897599,0.00002506033,0.0007650238,0.0005392381,0.0002140195,0.00006870957,0.00001651909,0.008062228],"genre_scores_gemma":[0.5578739,0.4412518,0.0006750466,0.00006786943,0.00007331707,0.0000187857,0.00000278987,0.0000157953,0.00002063126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4373543,"threshold_uncertainty_score":0.9999793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0535162339651732,"score_gpt":0.2648350750739843,"score_spread":0.2113188411088111,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}